SAP data modernization without compromising trust

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Summary

SAP data modernization without compromising trust means upgrading and streamlining how organizations manage and analyze their SAP data systems—while making sure that data remains accurate, secure, and reliable. This approach helps businesses draw better insights from their information without risking privacy, compliance, or confidence in the data.

  • Prioritize data privacy: Use masking and anonymization to protect sensitive information and maintain compliance with regulations like GDPR and CCPA throughout all SAP environments.
  • Adopt real-time integration: Connect SAP data across systems using automated, real-time flows to eliminate delays and manual errors, enabling faster and more informed decision-making.
  • Strengthen governance: Implement central data governance frameworks and conduct regular quality checks to prevent inconsistencies, boost accuracy, and preserve trust in your company's data.
Summarized by AI based on LinkedIn member posts
  • View profile for Gaurish Dessai

    Principal Enterprise Architect at SAP. Helping our customers to transform their business with SAP Solutions. 🤝

    8,124 followers

    📈 This isn’t just a story about Data analytics. It’s a blueprint for telecoms and other transaction high-volume industries looking to turn complexity into clarity—and insights into impact! 🚀 For telecom companies handling terabytes of billing data each day, analytics can no longer be an afterthought. One U.S.-based broadband provider serving 20 states set out to fix a critical challenge: fragmented, delayed, and manual data processes that slowed down revenue recognition, payment tracking, and financial reporting. Billing records, revenue recognition events, payment processing logs—each minute adds gigabytes of information across critical systems like SAP S/4HANA and SAP Billing and Revenue Innovation Management (BRIM). The business imperative was clear: unlock real-time insights from this ocean of data and do it at scale, efficiently, and securely. The company’s prior approach involved custom queries, end-of-day updates, and constant monitoring—creating a bottleneck in business decision-making. The transformation began with a bold ambition: harmonize data in real time across SAP S/4HANA, BRIM, and Google BigQuery, while eliminating manual overhead and enabling a truly intelligent finance function. The solution? SAP Datasphere, acting as the heart of a modern data fabric. By implementing real-time replication flows with change data capture, and embedding a semantic layer natively in Datasphere, the team enabled curated, trusted data to flow directly into BigQuery and SAP Analytics Cloud—supporting operational and strategic decisions in near real-time. Behind the scenes, this was powered by SAP Business Technology Platform, bridging core transactional systems with cloud analytics, all while maintaining a clean core and future-ready architecture.  The IT and finance teams partnered to rethink data architecture from the ground up. Instead of traditional SLT-based replication, which had previously slowed down operational systems and lacked semantic context, the team leveraged SAP #Datasphere ’s replication flows with change data capture. 🏆 Results that Matter: • Reports that once took hours now run in real-time • 2 FTEs worth of manual effort saved weekly • 40M billing records processed monthly with precision • Foundation laid for AI-driven analytics, forecasting, and insights What made this a standout transformation wasn’t just the technology—it was the mindset. Cloud-first, agile, and committed to making data a strategic asset, not a side project! 🚀 #SAP #SAPDatasphere #Analytics #SAPBTP #S4HANA #DataStrategy #SAPAnalyticsCloud #DataArchitecture Check out the full case study in the comments section! 🚀

  • From Data Swamps to Business Value: Unleashing SAP’s Business Data Cloud – Insights, Slides, and Video 🌟 Day 21 of 30 Days of EA Learning – 2025 Edition 🌟 Presented at the Next Generation SAP Enterprise Architect Learning Forum 2025 What does it take to modernize your data strategy—and make AI real? Gaurish Dessai, Principal Enterprise Architect at SAP, showed us how to stop wrangling data chaos and start delivering business-ready insight using SAP’s Business Data Cloud (BDC). A practical, powerful session that connects architecture, AI, and analytics into one unified vision. “If you can’t trust your data, you can’t trust the AI trained on it.” — Gaurish Dessai ⸻ Key Insights from the Session: • 🌊 Data chaos is real. Most organizations suffer from fragmented architectures, legacy swamps, and one rogue Excel file that holds it all together . • 🔍 Data Products > Data Dumps. BDC transforms structured and unstructured data into reusable Data Products—bringing context, quality, and governance together . • 🧠 Insight Apps = Analytics + AI. Joule-powered apps combine stories, dashboards, and natural language AI to put real-time insights in every stakeholder’s hands . • 🔄 Don’t lift and shift—link and share. With zero-copy Delta sharing via Databricks, data stays where it is while still fueling innovation . • ⚙️ Unified toolchain. BDC integrates Datasphere, SAP Analytics Cloud, Databricks, and Joule—under one product, one license, and SAP-managed service model . • 📈 BW modernization is built in. BDC provides a seamless path to evolve legacy BW use cases and assets while preserving business investments . • 🔁 SAP IT is the “Customer Zero.” Over 600+ data products are already in use—organized by business capability, owned by domain, and consumed through BDC-powered apps . ⸻ This session reminded us that the future of enterprise architecture is inseparable from enterprise data strategy. And BDC is SAP’s next-generation bridge—from data swamps to data products, from legacy pipelines to live insight. ⸻ Want the full story? ▶️ Watch the session on the Enterprise Architect SAP Community YouTube channel here: https://lnkd.in/g_tduMfp 📑 Click the image in this post to view or download the full presentation. ⸻ Join us tomorrow for Day 22 of 30 Days of EA Learning! ➡️ Next Up In-Person: Orlando | May 19–21 – Join us at SAP Sapphire & ASUG Annual Conference → EA Preconference Day, EA Track Sessions, Networking & More! #SAP #SAPCommunity #EnterpriseArchitecture #30DaysofEALearning #SAPBDC #BusinessDataCloud #DataProducts #Joule #SAPAI #DataStrategy #Databricks #InsightApps #SAPAnalyticsCloud #NextGenSAPEA

  • View profile for Carl Weaver

    Ich unterstütze SAP-Partner-CEOs beim Wachstum durch smarte Talentstrategien

    17,127 followers

    Data privacy isn’t optional anymore. Especially in complex SAP environments. Hackers don’t care if it’s prod, test, or training data. They look for cracks, and there are many. Old mindset: “It’s internal, we trust the team.” New mindset: Trust no one. Mask everything. Here’s why data masking and anonymization are now essential 1/ Regulations are tightening ↳ GDPR, CCPA, HIPAA, fines are real ↳ Compliance isn’t optional anymore 2/ Access is everywhere ↳ Users, roles, systems, layers ↳ Too many entry points to rely on luck 3/ Dev/Test are still vulnerable ↳ Real data in staging = real risk ↳ Masking removes the hacker’s prize 4/ Insider threats are rising ↳ One wrong click can expose millions ↳ Masking limits damage before it happens 5/ SAP is going hybrid ↳ Cloud + integrations = more exposure ↳ Masked data stays protected across environments 6/ Business still runs ↳ Teams need data for training, QA, and reports ↳ You can secure and stay productive 7/ Brand trust is fragile ↳ One leak? Years of trust gone ↳ Prevention is cheaper than public apologies 8/ It’s a mindset shift ↳ Security by design, not by patch ↳ Privacy-first architecture builds resilience Modern SAP security starts with data privacy. Anonymize. Mask. Repeat. Because hope is not a strategy What’s one step your team is taking today? #SAPSecurity #SAPDataProtection #SAPS4HANA #SAPLandscape #SAPCompliance #GDPR #CCPA

  • View profile for Nitin Mishra 💎

    Strategic IT Service Leader | AVP | IT Service Delivery Manager | IT Project Manager | Management and Strategy Consulting | ITIL V4 | PRINCE2 | PMP | SAP | Scrum Master | PSM 1

    5,688 followers

    🚨 “Inconsistent data doesn’t just break reports — it breaks trust.” In SAP landscapes, integrity isn’t optional. It’s your foundation for every decision. 💡 Managing a fragmented SAP environment? You're not alone. But here's the reality: even the most advanced systems crumble without data consistency. So, how do leading organizations keep data accurate, aligned, and trustworthy across modules and regions? ✅ Master Data Governance (MDG) Start with a strong data governance framework. SAP MDG allows centralized control, validation, and synchronization of master data — no more duplicate vendors or misaligned materials. 🔁 Real-Time Integration Use middleware like SAP PI/PO or SAP Integration Suite to ensure data flows seamlessly between systems. No lags. No silos. 🔒 Data Quality Checks: Incorporate data validation rules, cleansing routines, and duplicate detection directly into your workflows. Consistency must be built into the process — not treated as an afterthought. 📈 Standardized Templates & Naming Conventions: Harmonize how your teams name, input, and structure data across business units. This tiny shift leads to massive clarity at scale. 📊 Continuous Monitoring & Auditing: Leverage SAP Information Steward or built-in analytics to spot anomalies and ensure compliance before it becomes a crisis. In a diverse SAP environment, data is your common thread. Please Keep it clean. Keep it connected. Keep it trusted. 🏷️ #SAPDataIntegrity #SAPGovernance #SAPBestPractices #MasterDataManagement #SAPMDG #SAPIntegration #ITLeadership #DigitalTrust #EnterpriseData #SAPStrategy 📍 Follow Nitin Mishra 💎 for more content on SAP Project and Program Management ♻️ Consider reposting if you found the post helpful

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